OpenScholar is a website building and content management tool available to faculty and graduate students for hosting professional profile sites. OpenScholar sites can contain biographies, CVs, course lists, publications, blog entries, and event listings. An owner of a site does not need to know code or web development tools to edit and use the site. A user only needs to a web browser to edit the site. OpenScholar is hosted by Web Development Services in Princeton’s Office of Information Technology.

Speakers
Angel Brady is an Academic Systems Support and Training Specialist in Academic Technology Services in OIT. She provides support for Princeton’s Blackboard service, OpenScholar, and Princeton’s WordPress blogs. Previously, she was an Educational Technologist at the Humanities Resource Center at Princeton University. Prior to coming to Princeton, she was an Instructional Technologist and Training Specialist at Rider University. She earned her Master’s of Science in Biomedical Visualization from the University of Illinois at Chicago.

Ben Johnston is currently Humanities Computing Specialist at Princeton University’s Center for Digital Humanities. Ben has over fifteen years’ experience working with faculty to integrate technology into teaching, learning, and research at Princeton University’s Educational Technology Center in the Office of Information Technology, Bryn Mawr College, and Columbia University’s Columbia Center for New Media Teaching and Learning. Ben holds a Masters degree in Instructional Technology and Media from Teachers College, Columbia University.

R is the de facto standard for statistical analysis in a wide range of disciplines such as computational biology, finance, sociology, political science and digital humanities. This two-part workshop will help participants to get started with R’s abilities, ranging from data structure to visualization. Designed for students without any programming experience, this course will better prepare you for introductory statistics courses and quantitative research at Princeton.

Part 1: Introductory Workshop in Statistical Computing with R
In the first session, you will become familiar with the R programming environment and learn how to work with variables, vectors and data frames. You’ll learn how to import data from a file, to filter it, and to extract summary statistics. You’ll then learn how to use the powerful ggplot2 package to visualize your data, including scatter plots, histograms and boxplots.

Part 2: Intermediate Workshop in Statistical Computing with R
In the second session, you’ll be introduced to R’s tools for statistics and exploratory data analysis. You’ll learn to use R’s built-in statistical functions to test hypotheses about your data, including computing correlations, comparing two samples, and performing linear regressions. You’ll then learn further methods of manipulating and summarizing data using the dplyr package, and learn the basics of exploratory data analyses.

PLEASE NOTE: The best way to learn R is to attend both sessions. The second session will assume students are familiar with both R data structures and the ggplot2 package. To meet the goals of each session, and out of respect for those who enrolled in both, the Instructor will not be able to review material for students not present for Part 1.If you absolutely must miss the first session, reviewing the material in Lessons 1 and 2 of the online course, and passing the corresponding interactive quizzes, would help acquire the necessary basis for Part 2.

Are you a Princeton student, faculty member or researcher looking for funding or collaboration opportunities? Are you a staff member who helps others look for funding? Do you want weekly email alerts of new opportunities matching your research interests? Then come to the Pivot demo! Learn how to sign up for a Pivot account, how to search and track opps, how to refine and save searches, and how to get opps in your inbox.

Speaker
Kyle Burkhardt is the ERA Manager in the Office of Research and Project Administration (ORPA) at Princeton University. She is a software tester, documentation writer, and trainer for two software applications used by the University for Sponsored Research: Coeus for proposal tracking and PS Grants for award/subaward tracking. Kyle also gives demos on how to use Pivot to find funding opportunities, and manages the University Research Board (URB) proposal reader process.

Lunch will be provided. To register for this session:http://bit.ly/PSOpenAccess
(Registration is not required for attendance, however refreshments may be limited)

The open access movement began in the 1990s and has since been adopted by an increasing number of funding agencies, academic institutions, publishers, and individual researchers. If you haven’t encountered open access yet, you probably will at some point in your career. This presentation will provide an overview of the main ideas behind open access, give a brief history, look at the recent OA policy development, and help you understand your role and responsibility in the changing landscape of Scholarly Communication. Most importantly, the new services of the Library’s Scholarly Communications Office will be introduced to help faculty members comply with funding agency requirements and Princeton University’s Open Access policy.Continue reading →